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TopicBoard 8 National Football League League (B8NFLL) Season 11: The Offseason
ShatteredElysium
11/08/18 11:10:53 AM
#80:


KCF0107 posted...
And the final fun fact/historical thing that I had planned was revealing the regular season records (in order of winning percentage) of everyone currently active in the league (newcomers Smitty and Jablaxi not included but Chris, our first champion, is) and how they stacked up to one another.

Some of these might be pretty depressing, maybe more so for long-time vets than those with just a season or so under their belt, but I hope that you can take this on the chin and know that I am not trying to pour salt over wounds but unveiling more of our project's history.

All of the data I used to provide the rankings can be found on the wiki page.

1. KCF (Dolphins S1-present) - .668% (107-53)
2. Sultan (Jaguars S3-present) - .653% (83-44-1)
3. Chris (Buccaneers S1-S7, present) - .633% (71-41)
4. Jukkie (Redskins S2-S6, Cougars/Patriots S7-present) - .604% (87-57)
5. Eddv (Giants S1-present) - .600% (96-64)
6. Nee (Lions S1-present) - .575% (92-68)
7. Wiz (Cowboys S1-present) - .550% (88-71-1)
8. Scare (49ers S2-present) - .531% (76-67-1)
9. Shattered (Steelers S6-present) - .531% (43-37-1)
10. Emerald (Panthers S6-present) - .525% (42-38)
11. stevr (Bills S7-present) - .507% (32-31-1)
12. Tangicide (Packers S8-present) - .479% (23-25)
13. Stan (Titans S2-S10) - .395% (57-87)
14. VI (Browns S9-present) - .375% (12-20)
15. Ranlom (Chiefs S7-present) - .375% (24-40)
16. prof (Wildcats S6-present) - .367% (29-50-1)
17. Shonen (Pumpkins S10-present) - .312% (5-11)


It's interesting to see that nobody who came in S6 onwards is able to break into that Top 8. I wonder if that's a case of it taking a few seasons to get knowledgeable enough to win consistently. Or if it's a case of it taking a few years to mold the team. Probably a combination of both

It's especially interesting because we comment that users tend to mismanage teams compared to the AI (at least cap wise) but it seems the longer users spend with a team the better their winning percentage. I guess the more cynical view could be that only winning users stay on long term and those who aren't as successful drop out.
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